Bayesian Analyses Showed More Evidence for Apathy than for Depression Being Associated With Cognitive Functioning in Nursing Home Residents

Ruslan Leontjevas, Lily Fredrix, Martin Smalbrugge, Raymond T. C. M. Koopmans, Debby L. Gerritsen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Objectives: Depression, apathy, and cognitive impairments are widespread in nursing home (NH) residents. Scarce research that explicitly compares apathy to depression suggests that the association between apathy and cognitive functioning is stronger than the association between depression and cognitive functioning. This study in Dutch NH residents aimed to use Bayesian methods for comparing the evidence for the relationship of cognitive performance with apathy to that with depression. Design: Cross-sectional. Setting and Participants: Sixteen NH somatic care units (N = 190 residents; mean age 77.2 years, standard deviation 12.9), and 17 dementia special care units (N = 243 residents; mean age 82.8 years standard deviation, 6.8]). Measures: The Frontal Assessment Battery (FAB) and Mini-Mental State Examination (MMSE) were administered in residents for cognitive performance. Professional carers were interviewed for the Apathy Evaluation Scale and the Cornell Scale for Depression in Dementia. Results: Regression models built with the BayesFactor package in R showed Bayesian factors (BFs) that implied extremely strong evidence in terms of the Jeffrey classification for the relationship of apathy with MMSE [standardized effect size, −0.57 (−0.66 to −0.48), BF = 3.4E+28], and with FAB [−0.50 (−0.59 to −0.42), BF = 3.0E+24]. Regarding depression, evidence was a minor fraction of that for apathy [MMSE, −0.17 (−0.27 to −0.06), BF = 15.45; FAB, −0.12 (−0.22 to −0.02), BF = 2.11]. The most evidence existed for the associations of apathy with MMSE orientation problems, especially orientation in time. Conclusions/Implications: The study implies that cognitive assessments are important to differentiate apathy from depression in NH residents both with dementia and without dementia. More research is needed to clarify whether disorientation in time is a specific cognitive marker of apathy that may be used to reduce false positive depression diagnoses.
Original languageEnglish
Pages (from-to)1110-1117
JournalJournal of the American Medical Directors Association
Volume19
Issue number12
DOIs
Publication statusPublished - 2018

Cite this

@article{c811511b39774d67bb73756c4e42910d,
title = "Bayesian Analyses Showed More Evidence for Apathy than for Depression Being Associated With Cognitive Functioning in Nursing Home Residents",
abstract = "Objectives: Depression, apathy, and cognitive impairments are widespread in nursing home (NH) residents. Scarce research that explicitly compares apathy to depression suggests that the association between apathy and cognitive functioning is stronger than the association between depression and cognitive functioning. This study in Dutch NH residents aimed to use Bayesian methods for comparing the evidence for the relationship of cognitive performance with apathy to that with depression. Design: Cross-sectional. Setting and Participants: Sixteen NH somatic care units (N = 190 residents; mean age 77.2 years, standard deviation 12.9), and 17 dementia special care units (N = 243 residents; mean age 82.8 years standard deviation, 6.8]). Measures: The Frontal Assessment Battery (FAB) and Mini-Mental State Examination (MMSE) were administered in residents for cognitive performance. Professional carers were interviewed for the Apathy Evaluation Scale and the Cornell Scale for Depression in Dementia. Results: Regression models built with the BayesFactor package in R showed Bayesian factors (BFs) that implied extremely strong evidence in terms of the Jeffrey classification for the relationship of apathy with MMSE [standardized effect size, −0.57 (−0.66 to −0.48), BF = 3.4E+28], and with FAB [−0.50 (−0.59 to −0.42), BF = 3.0E+24]. Regarding depression, evidence was a minor fraction of that for apathy [MMSE, −0.17 (−0.27 to −0.06), BF = 15.45; FAB, −0.12 (−0.22 to −0.02), BF = 2.11]. The most evidence existed for the associations of apathy with MMSE orientation problems, especially orientation in time. Conclusions/Implications: The study implies that cognitive assessments are important to differentiate apathy from depression in NH residents both with dementia and without dementia. More research is needed to clarify whether disorientation in time is a specific cognitive marker of apathy that may be used to reduce false positive depression diagnoses.",
author = "Ruslan Leontjevas and Lily Fredrix and Martin Smalbrugge and Koopmans, {Raymond T. C. M.} and Gerritsen, {Debby L.}",
year = "2018",
doi = "10.1016/j.jamda.2018.06.008",
language = "English",
volume = "19",
pages = "1110--1117",
journal = "Journal of the American Medical Directors Association",
issn = "1525-8610",
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Bayesian Analyses Showed More Evidence for Apathy than for Depression Being Associated With Cognitive Functioning in Nursing Home Residents. / Leontjevas, Ruslan; Fredrix, Lily; Smalbrugge, Martin; Koopmans, Raymond T. C. M.; Gerritsen, Debby L.

In: Journal of the American Medical Directors Association, Vol. 19, No. 12, 2018, p. 1110-1117.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Bayesian Analyses Showed More Evidence for Apathy than for Depression Being Associated With Cognitive Functioning in Nursing Home Residents

AU - Leontjevas, Ruslan

AU - Fredrix, Lily

AU - Smalbrugge, Martin

AU - Koopmans, Raymond T. C. M.

AU - Gerritsen, Debby L.

PY - 2018

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N2 - Objectives: Depression, apathy, and cognitive impairments are widespread in nursing home (NH) residents. Scarce research that explicitly compares apathy to depression suggests that the association between apathy and cognitive functioning is stronger than the association between depression and cognitive functioning. This study in Dutch NH residents aimed to use Bayesian methods for comparing the evidence for the relationship of cognitive performance with apathy to that with depression. Design: Cross-sectional. Setting and Participants: Sixteen NH somatic care units (N = 190 residents; mean age 77.2 years, standard deviation 12.9), and 17 dementia special care units (N = 243 residents; mean age 82.8 years standard deviation, 6.8]). Measures: The Frontal Assessment Battery (FAB) and Mini-Mental State Examination (MMSE) were administered in residents for cognitive performance. Professional carers were interviewed for the Apathy Evaluation Scale and the Cornell Scale for Depression in Dementia. Results: Regression models built with the BayesFactor package in R showed Bayesian factors (BFs) that implied extremely strong evidence in terms of the Jeffrey classification for the relationship of apathy with MMSE [standardized effect size, −0.57 (−0.66 to −0.48), BF = 3.4E+28], and with FAB [−0.50 (−0.59 to −0.42), BF = 3.0E+24]. Regarding depression, evidence was a minor fraction of that for apathy [MMSE, −0.17 (−0.27 to −0.06), BF = 15.45; FAB, −0.12 (−0.22 to −0.02), BF = 2.11]. The most evidence existed for the associations of apathy with MMSE orientation problems, especially orientation in time. Conclusions/Implications: The study implies that cognitive assessments are important to differentiate apathy from depression in NH residents both with dementia and without dementia. More research is needed to clarify whether disorientation in time is a specific cognitive marker of apathy that may be used to reduce false positive depression diagnoses.

AB - Objectives: Depression, apathy, and cognitive impairments are widespread in nursing home (NH) residents. Scarce research that explicitly compares apathy to depression suggests that the association between apathy and cognitive functioning is stronger than the association between depression and cognitive functioning. This study in Dutch NH residents aimed to use Bayesian methods for comparing the evidence for the relationship of cognitive performance with apathy to that with depression. Design: Cross-sectional. Setting and Participants: Sixteen NH somatic care units (N = 190 residents; mean age 77.2 years, standard deviation 12.9), and 17 dementia special care units (N = 243 residents; mean age 82.8 years standard deviation, 6.8]). Measures: The Frontal Assessment Battery (FAB) and Mini-Mental State Examination (MMSE) were administered in residents for cognitive performance. Professional carers were interviewed for the Apathy Evaluation Scale and the Cornell Scale for Depression in Dementia. Results: Regression models built with the BayesFactor package in R showed Bayesian factors (BFs) that implied extremely strong evidence in terms of the Jeffrey classification for the relationship of apathy with MMSE [standardized effect size, −0.57 (−0.66 to −0.48), BF = 3.4E+28], and with FAB [−0.50 (−0.59 to −0.42), BF = 3.0E+24]. Regarding depression, evidence was a minor fraction of that for apathy [MMSE, −0.17 (−0.27 to −0.06), BF = 15.45; FAB, −0.12 (−0.22 to −0.02), BF = 2.11]. The most evidence existed for the associations of apathy with MMSE orientation problems, especially orientation in time. Conclusions/Implications: The study implies that cognitive assessments are important to differentiate apathy from depression in NH residents both with dementia and without dementia. More research is needed to clarify whether disorientation in time is a specific cognitive marker of apathy that may be used to reduce false positive depression diagnoses.

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UR - https://www.ncbi.nlm.nih.gov/pubmed/30037742

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